Senior Lead Data Engineer

Company: Capital One
Location: Washington
Posted on: October 29, 2024

Job Description:

West Creek 3 (12073), United States of America, Richmond, VirginiaSenior Lead Data EngineerDo you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. - We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.TEAMAs a Senior Lead Engineer in Finance tech you will be responsible for working collaboratively across Finance, Capital One Lines of Business and Enterprise Functions to develop patterns, playbooks and tools to support standards, create and review target data models in support of Finance and Enterprise goals. The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.What You'll Do:

• Collaborate with and across Agile teams to design, develop, itdetest, implement, and support technical solutions in full-stack development tools and technologies
• Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
• Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
• Collaborate with data product managers, and deliver robust cloud-based solutions that drive powerful data experiences
• Develop unit testing guidelines and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
• Mentor and develop engineering associates to help scale data product development and consumption efforts across the Finance organization.
• Develop relationships with key stakeholders, peers in our Enterprise Architecture and Data engineering teams.
• Make and document key modeling principles and provide guidance to help engineering teams establish and design to target.
• Review delivery team designs and assess alignment with target architecture, data strategy and relevant policies
• Own design and data governance decisions in partnership with the Divisional Chief Architect and peer architects.
• Develop standards for publishing, modeling and protecting data
• Own and prioritize the long-term (12-18 months) Data Product delivery roadmap to deliver on business outcomes, working closely with a cross-functional team to ensure that all the right resources are aligned to ensure that and your team will be successful
• Understand how ontology and data models fits into the larger ecosystem, anticipating impacts from changes in other parts of the business
• Work closely with tech leadership and architecture to understand the tradeoffs of technical decisions and how they impact Ontology and Data modeling as well as consumersBasic Qualifications: -
  • Bachelor's Degree -
  • At least 8 years of experience in application development (Internship experience does not apply)
  • At least 2 years of experience in big data technologies -
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)Preferred Qualifications: -
    • Master's Degree -
    • 9+ years of experience in application development including Python, SQL, Scala, or Java
    • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
    • 5+ years experience with Distributed data/computing tools (Hadoop, Hive, EMR, Kafka, Spark)
    • 4+ year experience working on real-time data and streaming applications -
    • 4+ years of data warehousing experience (Redshift or Snowflake) -
    • 4+ years of experience with UNIX/Linux including basic commands and shell scripting
    • 2+ years of devops experience
    • -2+ years of experience with graphQL experience
    • 2+ years of experience with Agile engineering practices -Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. -Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the -. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Keywords: Capital One, Baltimore , Senior Lead Data Engineer, Engineering , Washington, Maryland